Founded in 1973, it was the third IIM to be established, after IIM Calcutta and IIM Ahmedabad.The institute offers Post Graduate, Doctoral, Executive Education and Certificate Programmes. The MBA programme is the flagship programme of the BSchool and is offered in three modes - one year full-time, two year full-time and two year executive (weekend).The Post Graduate Programme in Management (PGP), is the traditional flagship two-year full-time residential MBA programme, for candidates with 0–4 years experience and admitted through the Common Admission Test (CAT). IIM Bangalore offers a flagship one-year full-time residential MBA programme - the Executive Post Graduate Programme in Management (EPGP), modeled on global MBA pedagogy, for candidates with higher experience and admitted through Graduate Management Admission Test (GMAT),IIMB also offers two-year part-time executive MBA programme for working executives, a one-year full-time programme - Master of Management Studies in Public Policy and a two-year full-time MBA programme in Business Analytics, apart from the Doctor of Philosophy (PhD). The Certificate Programmes include the N. S. Ramaswamy Pre-doctoral Fellowship (NSR Pre-doc), which is a one-year full-time apprenticeship programme with a focus on inclusion,[clarification needed] and the Mahatma Gandhi National Fellowship (MGNF), a two-year academic programme.In addition to its academic programmes, the institute is engaged in facilitating research, offering consulting services, conducting seminars and academic conferences and publishing journals. S.
Creative problem-solving (CPS) is important for most organizations. A variety of creative systems have been facilitating this phenomenon; however, generative AI (GenAI) is revolutionizing this space tremendously. As these systems are significantly different from the traditional systems, it becomes crucial to examine this evolution, but the existing Information Systems (IS) literature lacks a sociotechnical theory on human-IS collaboration for CPS that can be used to support such research. To address this gap, this conceptual study develops a human-IS CPS framework grounded in the dynamism of human-system interaction. It uses Rhode’s 4P model to structure the framework and the theoretical lens of ‘agency’ to differentiate the fundamental nature of creative systems. Further, by applying this framework to the context of GenAI, this study provides interesting insights into how various aspects of the CPS phenomenon are being influenced. Apart from serving as a theoretical foundation for future research on collaborative CPS, it can also help practitioners in mapping and improving the CPS process.
This study investigates how caste identity and village-level caste composition shape experiences of everyday discrimination, and mental health among older adults in rural India. Using nationally representative data from the Longitudinal Ageing Study in India (2017–2019), we estimate multivariate and multi-level models accounting for individual, household, and village characteristics. We find that individuals from marginalised caste groups report higher levels of everyday discrimination and depressive symptoms compared to upper-caste individuals. Village-level caste composition is closely associated with everyday social experiences. Older adults tend to report lower levels of everyday discrimination when residing in villages where their own caste group forms the numerical majority, with particularly pronounced differences for marginalised groups. Patterns for depressive symptoms, while broadly consistent with caste-based disparities, show more modest variation across village types. Across all specifications, everyday discrimination is strongly associated with higher depressive symptoms, suggesting that differential exposure to everyday social interactions constitutes an important pathway linking caste-based social structure to mental health outcomes. These findings highlight the importance of local social context in shaping everyday social experiences, with broader implications for the psychosocial well-being of ageing populations. Results are robust to alternative measures of everyday discrimination, exclusion of Scheduled Tribes, and to continuous measures of village caste composition, with mediating pathways examined using the Karlson–Holm–Breen (KHB) method.
Inefficient investment by the private sector, especially in manufacturing, has been a major cause of worry for policymakers across the globe because of its adverse impact on productivity and potential economic growth. This article studies the impact of economic policy uncertainty (EPU) on investment inefficiency among Indian manufacturing firms. Higher EPU is found to reduce investment inefficiency among Indian firms, but the impact is stronger for firms facing greater product market competition. The negative impact of EPU on investment inefficiency is stronger for overinvesting firms and firms with better quality of financial reporting. Greater product market competition and better quality of financial reporting are both mechanisms that reduce investment inefficiency in the face of higher EPU with some degree of substitutability. Policies aimed at improving financial reporting quality in industries with lower product market competition can significantly improve investment efficiency with resulting benefits.JEL Codes: E22, E20, E60
PurposeThis study examines how President Trump's anti-DEI (diversity, equity and inclusion) executive orders are reshaping workplace inclusion for people with disabilities, using a global, multi-stakeholder perspective. It explores the challenges and opportunities these policies present for employers and organizations, emphasizing their impact on both disability inclusion and broader DEI efforts.Design/methodology/approachQualitative semi-structured interviews were conducted with 17 key stakeholders, including leaders of disability advocacy organizations, directors of academic disability centers, disability employment legal experts, and independent DEI researchers and consultants from seven countries.FindingsTrump's anti-DEI executive orders have generated significant uncertainty and retrenchment, but disability does not neatly mirror the trajectory of other DEI categories. Instead, participants depict disability as occupying a distinct legal and organizational position, anchored in the ADA yet increasingly exposed to policy backsliding and organizational risk aversion, prompting some employers to narrow recruitment and outreach while spurring others to reassess and more deliberately embed disability inclusion within their structures and practices.Originality/valueEmpirical research examining the organizational consequences of Trump-era anti-DEI directives remains limited. Rather than viewing the current climate solely as a setback, our findings suggest a generative moment that enables organizations to interrogate performative DEI practices and reimagine more authentic, structurally embedded approaches to inclusion.
We study whether access to local pollution information causes investors to make greener portfolio allocations, exploiting the rollout of air quality monitoring stations in India. Using a triple-differences framework on the trading records of 19 million investors, we show that retail investors’ holdings in “brown” stocks become more negatively related to local pollution after a nearby station appears. This effect is more pronounced on “alert” dates when air quality is reported to be harmful. The effect is strongest among tech-savvy investors likely “treated” by real-time pollution data, and younger investors, who may be more sensitive to environmental concerns.
